Flexible, reproducible pupillometry preprocessing R package.
client
Stanford Memory Lab
year
2024 → Now
timeframe
Ongoing
R
PACKAGE
RESEARCH
Problem
Despite decades of pupillometry research, many established packages and workflows unfortunately lack design principles based on (F)indability (A)ccessbility (I)nteroperability (R)eusability (FAIR) principles. eyeris, on the other hand follows a thoughtful design philosophy that results in an intuitive, modular, performant, and extensible pupillometry data preprocessing framework. Much of these design principles were heavily inspired by Nipype.
Solution
eyeris also provides a highly opinionated pipeline for tonic and phasic pupillometry preprocessing (inspired by fMRIPrep). These opinions are the product of many hours of discussions from core members and signal processing experts from the Stanford Memory Lab (Shawn Schwartz, Mingjian He, Haopei Yang, Alice Xue, and Anthony Wagner).
eyeris also introduces a BIDS-like structure for organizing derivative (preprocessed) pupillometry data, as well as an intuitive workflow for inspecting preprocessed pupillometry epochs within beautiful, interactive HTML report files (see demonstration below ⬇)! The package also includes gaze heatmaps that show the distribution of eye coordinates across the entire screen area, helping you assess data quality and participant attention patterns. These heatmaps are automatically generated in the BIDS reports and can also be created manually.